[ad_1] Introduction In recent years, supply chain disruptions have become a major concern for businesses around the world. These disruptions can lead to significant financial losses, delays in production, and damage to a company’s reputation.…
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[ad_1] Introduction In recent years, the spread of fake news on social media platforms has become a pressing issue that has raised concerns about the credibility of information shared online. Fake news can have serious…
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[ad_1] Introduction: Traffic congestion is a significant issue in urban areas worldwide, leading to increased travel times, air pollution, and overall reduced quality of life for residents. Ride-sharing services have become increasingly popular in recent…
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[ad_1] Title: Predicting Customer Lifetime Value for Subscription-Based Businesses Using Transactional Data and Machine Learning Chapter 1: Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study…
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[ad_1] Thesis Overview: Title: Sentiment analysis of employee reviews using text mining and natural language processing Introduction: The rapid growth of online job platforms has made it easier for employees to share their opinions and…
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[ad_1] Introduction Oil and gas pipelines play a crucial role in the transportation of energy resources across vast distances. However, these pipelines are susceptible to various forms of degradation and failure over time, leading to…
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[ad_1] Introduction Waste management has become a significant concern globally, with the increasing amount of waste being generated daily. Recycling plays a crucial role in mitigating environmental pollution and conserving natural resources. However, the efficiency…
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[ad_1] Introduction Anomaly detection in manufacturing processes using sensor data and unsupervised learning has become an important area of research in recent years. The ability to detect anomalies in manufacturing processes can help companies improve…
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[ad_1] Introduction Healthcare providers face significant challenges due to patient no-shows, which can lead to inefficiencies in scheduling, decreased access to care, and increased costs. Predicting patient no-shows using appointment data and machine learning techniques…
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[ad_1] Title: Image Segmentation for Satellite Imagery Analysis Using Deep Learning and Geospatial Data Chapter 1: Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6…
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